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relationships between range error standard deviation and other performance metrics (eg, CEP, R95, 2drms, etc) are discussed in Section 491 In Section 88, di erential GPS is discussed Di erential operation achieves signi cant accuracy improvements by canceling the e ect of the common mode errors The resulting URE would be a few 01-3m for di erential pseudorange or a few centimeters for di erential phase

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This section derives dilution of precision (DOP) factors that related the URE to the expected position estimation accuracy In the discussion of this section, it is assumed that H includes a rotation matrix so that the vector p, which contains the rst three states of x, represents horizontal position and altitude (ie, north, east, and down) After convergence of the GPS update of eqn (813), we expect that dx = 0 which implies that H H

19 In vector diagrams such as those of Fig 12-13, the distance from the center of the graph represents (a) average amplitude (b) frequency (c) phase (d) peak amplitude 20 In diagrams like those of Fig 12-13, the progression of time is sometimes depicted as (a) movement of a vector to the right (b) movement of a vector to the left (c) counterclockwise rotation of a vector (d) clockwise rotation of a vector

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x ( ) = 0

a perfect conductor) to extremely large values Physicists call resistance a scalar quantity, because it can be expressed on a one-dimensional scale, as shown in Fig 13-1

Also, from eqns (86) and (811), we have that x ( ) = H x + where is de ned in eqn (87) Combining these equations yields x = H H

(880)

Suppose you have some wire that conducts electricity very well If you wind a length of the wire into a coil and connect it to a source of dc (Fig 13-2), the wire draws a large current It doesn t matter

where the number of measurements m is greater than three and the inverse matrix exists Assuming that the error vector is zero mean with covariance 2 I, we can determine the expected value and covariance of the position error The expected value of x is E x = E H H

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whether the wire is a single-turn loop, or whether it s lying haphazardly on the floor, or whether it s wrapped around a stick The current amperes is equal to the applied voltage in volts divided by the wire resistance in ohms It s that simple You can make an electromagnet, as you ve already seen, by passing dc through a coil wound around an iron rod Electromagnets are known for the high current they draw from batteries or power supplies The coil of an electromagnet heats up as energy is dissipated in the resistance of the wire If the voltage of the battery or power supply increases, the wire in the coil gets hotter Ultimately, if the supply can deliver enough current, the wire will melt

H = 0;

therefore, the estimate of the receiver antenna position and receiver clock bias is expected to be unbiased This statement should be interpreted with caution The ensemble average has an expected value of zero In fact, if a temporal sequence of positions was averaged long enough, the position error should converge to zero However, the temporal average has signi cant time i i i correlation due to the range errors (E i , Tr , Ir , M , and c ti ) all being time correlated Therefore short-term averages can contain signi cantly biased errors

De ne P = cov( ) From eqn (880) the covariance matrix P can be x computed as shown in eqn (881): P = = = = E x x E H H

1 1 1 1

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